Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O’Brien, ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. One of the most important decisions CIOs face today is where to store all of their ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost importance. When it comes to managing data ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...